Open AccessBig Data on Machine Learning – A Review
Author(s) -
K. Balasree,
K. Dharmarajan
Publication year - 2021
Publication title -
engineering and scientific international journal
Language(s) - English
Resource type - Journals
eISSN - 2394-7187
pISSN - 2394-7179
DOI - 10.30726/esij/v8.i3.2021.83018
Subject(s) - big data , computer science , data science , analytics , data analysis , scalability , variety (cybernetics) , predictive analytics , machine learning , artificial intelligence , software analytics , data type , data mining , database , software , software development , software construction , programming language
In rapid development of Big Data technology over the recent years, this paper discussing about the Machine Learning (ML) playing role that is based on methods and algorithms to Big Data Processing and Big Data Analytics. In evolutionary fields and computing fields of developments that both are complementing each other. Big Data: The rapid growth of such data solutions needed to be studied and provided to handle then to gain the knowledge from datasets and extracting values due to the data sets are very high in velocity and variety. The Big data analytics are involving and indicating the appropriate data storage and computational outline that enhanced by using Scalable Machine Learning Algorithms and Big Data Analytics then the analytics to reveal the massive amounts of hidden data’s and secret correlations. This type of Analytic information useful for organizations and companies to gain deeper knowledge, development and getting advantages over the competition. When using this Analytics we can predict the accurate implementation over the data. This paper presented about the detailed review of state-of-the-art developments and overview of advantages and challenges in Machine Learning Algorithms over big data analytics.